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AI Engineering Course
Take your technology work to the next level with our AI Engineering Training, made for tech people who really want to be good at AI. You go deep into how to test models, like using Recall, F1-Score, and checking your work properly. You'll get better at writing things down clearly and learn about machine learning ways to guess who's gonna leave a service, including using decision trees and logistic regression. You'll become an expert at looking at data, changing features to work better, and making models the best they can be. Join us and learn how to turn data into things you can actually use and help bring new ideas to your work.
- Get good at testing models: Make your work more correct with Recall, F1-Score, and Precision.
- Write things down well: Explain why you did things and understand what the results mean clearly.
- Guess who's gonna leave: Use Decision Trees, Random Forests, and Logistic Regression to find out.
- Get data ready: Look at data carefully and deal with missing information well.
- Make models better: Use different methods together and fine-tune how they work.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Take your technology work to the next level with our AI Engineering Training, made for tech people who really want to be good at AI. You go deep into how to test models, like using Recall, F1-Score, and checking your work properly. You'll get better at writing things down clearly and learn about machine learning ways to guess who's gonna leave a service, including using decision trees and logistic regression. You'll become an expert at looking at data, changing features to work better, and making models the best they can be. Join us and learn how to turn data into things you can actually use and help bring new ideas to your work.
Elevify advantages
Develop skills
- Get good at testing models: Make your work more correct with Recall, F1-Score, and Precision.
- Write things down well: Explain why you did things and understand what the results mean clearly.
- Guess who's gonna leave: Use Decision Trees, Random Forests, and Logistic Regression to find out.
- Get data ready: Look at data carefully and deal with missing information well.
- Make models better: Use different methods together and fine-tune how they work.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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